Karakterisasi Performa Rancangan Algoritma Hybrid Energy Management System Pada Mobil PHEV ITS

Alim, Aditya Halaqul (2024) Karakterisasi Performa Rancangan Algoritma Hybrid Energy Management System Pada Mobil PHEV ITS. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perkembangan di dunia menunjukkan kecendrungan bahwa kebutuhan energi dan permasalahan lingkungan yang semakin meningkat. Sektor transportasi didominasi oleh kendaraan internal combustion engine (ICE) yang berkontribusi memberikan emisi gas rumah kaca mencapai angka 25% sehingga menimbulkan peningkatan pemanasan global. Hybrid Electric Vehicle (HEV) dipandang sebagai alternatif potensial dikarenakan konsumsi bahan bakar yang ekonomis serta memiliki emisi yang ramah lingkungan. HEV memiliki ICE dan setidaknya satu Electric Motor (EM) yang ditenagai oleh baterai. Energy Management System (EMS) menjadi kunci esensial yang menentukan tingkat ekonomis penggunaan bahan bakar dan seberapa ramah tingkat emisi dari sebuah HEV. Secara umum, EMS dikategorikan menjadi tiga, yakni Ruled-based EMS, Optimization-based EMS, dan Learning-based EMS. Setiap kategori memiliki kelebihan dan kekurangannya masing-masing. Penelitian ini memanfaatkan ruled-based EMS karena simplisitas metode tersebut. Untuk seterusnya, pada penelitian ini EMS akan disebut sebagai hybrid energy management system (HEMS). Algoritma kontrol HEMS sudah dirumuskan lalu diaplikasikan pada mobil plug-in hybrid electric vehicle (PHEV) ITS. Algoritma HEMS disusun berdasarkan variasi kecepatan kendaraan, SOC aktivasi ICE, dan juga kecepatan RPM ICE. Mobil PHEV ITS menggunakan konfigurasi hybrid seri-pararel, dimana kebutuhan energi EM dapat dipasok oleh ICE dan baterai, selain itu ICE juga difungsikan sebagai sistem pengisian baterai.Penelitian ini bertujuan untuk mendapatkan karakteristik performa kendaraan, jarak tempuh maksimal, biaya operasional kendaraan, serta mengetahui pengaruh algoritma kontrol HEMS terhadap parameter yang dimiliki baterai. Penggunaan mode HEV dapat menambah jarak tempuh kendaraan, akan tetapi penggunaan mode ini membuat biaya operasional menjadi lebih mahal. Selain itu, dengan memanfaatkan mode HEV, temperatur baterai menjadi lebih rendah jika dibandingkan dengan kendaraan yang dioperasikan menggunakan mode battery electric vehicle (BEV)
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Developments in the world show a tendency that energy needs and environmental problems are increasing. The transportation sector is dominated by internal combustion engine (ICE) vehicles which contribute to greenhouse gas emissions reaching 25%, causing an increase in global warming. Hybrid Electric Vehicles (HEV) are seen as a potential alternative due to their economical fuel consumption and environmentally friendly emissions. HEVs have an ICE and at least one Electric Motor (EM) powered by a battery. The Energy Management System (EMS) is an essential key that determines the economical level of fuel use and how friendly the emission levels of an HEV are. In general, EMS is categorized into three, namely Ruled-based EMS, Optimization-based EMS, and Learning-based EMS. Each category has its own advantages and disadvantages. This research utilizes ruled-based EMS because of the simplicity of the method. Henceforth, in this research EMS will be referred to as a hybrid energy management system (HEMS). The HEMS control algorithm has been formulated and then applied to the ITS plug-in hybrid electric vehicle (PHEV). The HEMS algorithm is structured based on variations in vehicle speed, ICE activation SOC, and also ICE RPM speed. The ITS PHEV car uses a series-parallel hybrid configuration, where the EM energy needs can be supplied by the ICE and battery, apart from that the ICE also functions as a battery charging system. This research aims to obtain vehicle performance characteristics, maximum mileage, vehicle operational costs, and find out the influence of the HEMS control algorithm on the parameters of the battery. Using HEV mode can increase the vehicle's mileage, but using this mode makes operational costs more expensive. In addition, by utilizing HEV mode, the battery temperature is lower when compared to vehicles operated using battery electric vehicle (BEV) mode

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Hybrid Electric Vehicle, Sistem Managemen Energi, Baterai, Kendaraan Listrik; Battery, Energy Management System, Electric Vehicle
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL220 Electric vehicles and their batteries, etc. T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL221.5 Hybrid Vehicles. Hybrid cars
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Mechanical Engineering > 21101-(S2) Master Thesis
Depositing User:	Aditya Halaqul Alim
Date Deposited:	07 Feb 2024 04:11
Last Modified:	07 Feb 2024 04:11
URI:	http://repository.its.ac.id/id/eprint/106363

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